Sunday, November 17, 2019

Predicting Loyalty Churn – Cathay Pacific Marco Polo [Case Study]

Cathay Pacific Marco Polo loyalty program changes in 2015 could have cost the company over $1B in lost revenue Big data can now predict when...
Propensity Modelling - Travel Data Daily

Audience Fragmentation – Propensity & Behavioural Scoring

Audience Fragmentation, also known as behavioural scoring or propensity scoring, is a popular method of descriptive analytics which aims to calculate the likelihood of...

Stop Chasing Millennials. Instead, use data to drive marketing

Some companies continue to chase millennials. Instead, using data to drive marketing could have much more effective results while reducing costs. It is amazing how...

How Big Data Is Driving Loyalty Program Revenue

It's often thought that loyalty programs are designed to reward customers with special offers, treats, and discounts in the hope of retaining their business...

Talking Data with Hilton: Jonathon Wardman, Vice President CRM

This month in Talking Data, Travel Data Daily spoke with Jonathon Wardman, Vice President CRM at Hilton about hotel guest data, how Hilton is leveraging...

Creating a 360-degree customer view using big data

With a 360-degree customer view, your company will drive up profits. How valuable would it be to know everything about your customer's interactions with your...

5 Simple Ways Hotels Use Data To Increase Revenue

How hotels use data to drive new revenue In 2017, it's clear that the hospitality industry needs to prepare for even more disruptions that will...

How Big Data Helps Boost Marketing Conversion Rates

Today, the marketing industry is permanently connected to technological innovation. The many new resources and techniques continuously entering the marketplace mean that advertisers have...

Talking Big Data with HotelQuickly

TravelDataDaily caught up with the Chief Marketing Officer at HotelQuickly, Christian Mischler to talk about being a data-driven technology company, and how their business is...

Dark Data: The billion dollar opportunity

How can airlines, hotels, and travel companies leverage dark data capabilities? Every organization collects, stores and retains portions of dark data. It's the digital equivalent...

Are Predictive Analytics In Marketing Helping The Wrong People?

The rise of predictive analytics has brought many benefits to marketers. The tremendous amount of both real-time and historical data available about customer behaviour...

Can Uber predict your credit rating more accurately than banks?

Your Uber rating may be important, but what if it were possible for Uber to predict your credit rating more accurately than banks? What places...

3 Charts Showing Growth of Short-Term Rentals vs. Hotel Online Bookings

There’s no question short-term rentals made a splash around the world this year — mainly from the likes of Airbnb — even amidst the...

Google reveals how travelers use their smartphone

In today’s mobile-first world, people turn to their phones regularly to help make travel decisions. In a new report, Google shares insight into the...

What are actionable insights?

Every data company boasts its ability to provide actionable insights. Is this term more than marketing? Business Intelligence vs actionable insights Companies need to track their...

Segmenting frequent flyer loyalty member databases

Step by step guide on segmenting frequent flyer member databases. Want to dive deeper than traditional segmenting? Check out my other article on Propensity Modeling...

How hotels can use data to generate new revenue

Hotel revenue management and use of analytics for room sales have remained virtually unchanged for decades since the early 1980s when hotels started looking...

How Airlines Measure Loyalty

For years, the airline loyalty industry has been debating over what the definition of a high-value customer is. One that spends big on airline...

Commercializing frequent flyer program member data

I recently shared an article on how airlines are using information to individually price airfares and extract maximum value from passengers which was thought...